Job description

SMX is seeking a Senior Data Scientist to mine and analyze PRESS knowledge‑management data, build real‑time ACIC executive dashboards, and develop automated ETL/ELT pipelines that measure and forecast DI analytical production and workforce resourcing. The data scientist will also collaborate with Directorate leadership to define KPIs, translate complex statistical models into clear executive decision aids, and maintain strict data integrity and governance across all reporting pipelines. This position will require 3-6 month embed at DIA HQ (JBAB, Washington, D.C.) followed by primary duty at ACIC (Ft. Meade, MD) with recurring DIA HQ support as required. Essential Duties & Responsibilities Leverage PRESS knowledge management, metadata store, and production data to establish ACIC dashboards and quantitatively and qualitatively capture and evaluate DI analytic efforts and associated resourcing. Duty Locations & Schedule: Initial 3 to 6-month embed at DIA HQ (JBAB, Washington, D.C.); followed by primary duty at ACIC (Fort Meade, MD) with recurring DIA HQ support as required Mine and analyze PRESS knowledge management data, metadata stores, and production logs to build real-time ACIC executive dashboards Quantitatively and qualitatively measure, evaluate, and forecast DI analytical production throughput, workforce resourcing, and effort allocation Build automated ETL/ELT pipelines to ingest, clean, and validate data from disparate production systems Collaborate with Directorate leadership and intelligence analysts to formulate key operational performance indicators (KPIs) and analytical metrics Translate complex statistical models and data patterns into clear executive briefings, visual stories, and actionable decision aids Maintain strict data integrity, auditability, and governance across all reporting pipelines Required Skills, Experience & Education Security Clearance: TS/SCI (Polygraph eligible / must submit if requested) Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related quantitative field Experience Required: 5+ years in Data Science, Analytics Engineering, or Enterprise Data Architecture roles Advanced programming in Python and/or R for data wrangling, statistical modeling, machine learning, and natural language processing (NLP) Advanced SQL capabilities for querying, transforming, and extracting data from enterprise relational databases, data lakes, and metadata stores Mastery of enterprise business intelligence (BI) platforms: Tableau, Power BI, or Qlik Strong foundation in metadata management, data catalogs, data lineage tracking, and knowledge management governance Experience integrating with backend APIs from project tracking tools (Jira, Git, ServiceNow) to pull operational metrics Application Deadline: November 30, 2026 #CJPOST #LI-onsite The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $190,000 — $215,000 USD At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration. SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

Requirements

Must-haves

This position will require 3-6 month embed at DIA HQ (JBAB, Washington, D.C.) followed by primary duty at ACIC (Ft. Meade, MD) with recurring DIA HQ support as required.
Essential Duties & Responsibilities
Leverage PRESS knowledge management, metadata store, and production data to establish ACIC dashboards and quantitatively and qualitatively capture and evaluate DI analytic efforts and associated resourcing.
Duty Locations & Schedule: Initial 3 to 6-month embed at DIA HQ (JBAB, Washington, D.C.); followed by primary duty at ACIC (Fort Meade, MD) with recurring DIA HQ support as required
Mine and analyze PRESS knowledge management data, metadata stores, and production logs to build real-time ACIC executive dashboards
Quantitatively and qualitatively measure, evaluate, and forecast DI analytical production throughput, workforce resourcing, and effort allocation
Build automated ETL/ELT pipelines to ingest, clean, and validate data from disparate production systems
Collaborate with Directorate leadership and intelligence analysts to formulate key operational performance indicators (KPIs) and analytical metrics
Translate complex statistical models and data patterns into clear executive briefings, visual stories, and actionable decision aids
Maintain strict data integrity, auditability, and governance across all reporting pipelines
Required Skills, Experience & Education
Security Clearance: TS/SCI (Polygraph eligible / must submit if requested)
Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related quantitative field
Experience Required: 5+ years in Data Science, Analytics Engineering, or Enterprise Data Architecture roles
Advanced programming in Python and/or R for data wrangling, statistical modeling, machine learning, and natural language processing (NLP)
Advanced SQL capabilities for querying, transforming, and extracting data from enterprise relational databases, data lakes, and metadata stores
Mastery of enterprise business intelligence (BI) platforms: Tableau, Power BI, or Qlik
Strong foundation in metadata management, data catalogs, data lineage tracking, and knowledge management governance
Experience integrating with backend APIs from project tracking tools (Jira, Git, ServiceNow) to pull operational metrics
Application Deadline: November 30, 2026
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.

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Keywords to mirror

pythonmachine learningsqljira

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Benefits

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Health Insurance

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